Wearable Cardiovascular Detection Using Pre- and Post-Exercise Phases
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cardiovascular health status detection during physical activities, such as cardiopulmonary exercise testing (CPET), is unsuitable for everyday use due to stringent conditions and limitations, making it difficult to monitor cardiovascular health status during daily life exercises.
Innovation Solution
A wearable device collects physiological data (blood pressure, heart rate, electrocardiogram, blood oxygen) and exercise data (pace, step count, metabolic equivalent of task) before, during, and after exercise to provide real-time cardiovascular health assessments, enabling safe and scientific physical training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cardiopulmonary exercise testing (CPET) is used to detect cardiovascular health status, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent segments the cardiovascular health detection process into three distinct phases (pre-exercise, in-exercise, post-exercise), each with specific measurement protocols. This segmentation simplifies the overall complex CPET process into manageable stages that can be performed with simpler wearable devices while maintaining measurement precision through phase-specific assessments.
Solution Approach 2:
The patent creates a universal wearable device platform that can perform multiple functions across different exercise phases and various cardiovascular assessments. The device integrates heart rate monitoring, blood pressure detection, ECG recording, and metabolic equivalent calculations into a single multi-functional system that serves both clinical and everyday exercise monitoring needs.
2Measurement precision
If cardiopulmonary exercise testing (CPET) is used to detect cardiovascular health status, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The patent implements self-service mechanisms where the wearable device automatically performs measurements, processes data, and generates cardiovascular health assessments without requiring operator intervention. The system autonomously monitors physiological parameters across exercise phases, calculates metabolic equivalents, and provides health status evaluations, making the complex CPET process as simple as wearing the device.
Solution Approach 2:
The patent incorporates continuous feedback loops where the device monitors physiological parameters in real-time, compares them against established thresholds and norms, and automatically adjusts monitoring intensity or provides immediate health status feedback. This feedback mechanism simplifies operation by eliminating the need for operators to manually interpret complex physiological data during testing.
3Reliability
If comprehensive physiological data collection is performed during exercise, then reliability of cardiovascular assessment is improved, but use of energy worsens
Solution Approach 1:
The patent employs periodic action by collecting comprehensive physiological data only at specific intervals and during critical exercise phases rather than continuously. The device performs intensive measurements during pre-exercise baseline, in-exercise critical transitions, and post-exercise recovery phases, while using lower-power monitoring modes during stable exercise periods, thus maintaining assessment reliability while reducing overall energy consumption.
Solution Approach 2:
The patent dynamically changes monitoring parameters based on exercise intensity and phase. The device adjusts sampling rates, activates specific sensors only when needed, and modifies measurement frequency based on detected physiological states. This parameter adaptation ensures reliable cardiovascular assessment during critical moments while minimizing energy consumption during stable or low-risk periods.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Embodiments of this application disclose a detection method and a wearable device. The wearable device may collect physiological data (which may also be referred to as health data, including blood pressure, a heart rate, an electrocardiogram, and blood oxygen) and exercise data (including a pace, a step count, and a metabolic equivalent of task) of a user in a plurality of periods such as pre-exercise, in-exercise, and post-exercise. An exercise and health result of the user may be obtained based on the physiological data and the exercise data, so that the user can learn of a cardiovascular health status linked with everyday exercises at any time, adjust an exercise intensity, engage in safe and scientific physical training, thereby improving cardiovascular wellness.